Fetal MRI radiomics: non-invasive and reproducible quantification of human lung maturity

• Published in: European radiology Vol. 33; no. 6; pp. 4205 - 4213
• Main Authors: Prayer, Florian, Watzenböck, Martin L., Heidinger, Benedikt H., Rainer, Julian, Schmidbauer, Victor, Prosch, Helmut, Ulm, Barbara, Rubesova, Erika, Prayer, Daniela, Kasprian, Gregor
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2023; Springer Nature B.V
• Subjects: Correlation coefficient; Correlation coefficients; Data acquisition; Diagnostic Radiology; Female; Fetus - diagnostic imaging; Fetuses; Gestational age; Humans; Image segmentation; Imaging; Infant; Internal Medicine; Interventional Radiology; Itk protein; Lung - diagnostic imaging; Lungs; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Male; Mathematical analysis; Medicine; Medicine & Public Health; Neuroradiology; Paediatric; Parameter identification; Radiology; Radiomics; Reproducibility; Reproducibility of Results; Retrospective Studies; Ultrasound; Fetal imaging; Reproducibility of results; Magnetic resonance imaging; Lung
• DOI: 10.1007/s00330-022-09367-1
• ISSN: 1432-1084; 0938-7994

Objectives To assess the reproducibility of radiomics features extracted from the developing lung in repeated in-vivo fetal MRI acquisitions. Methods In-vivo MRI (1.5 Tesla) scans of 30 fetuses, each including two axial and one coronal T2-weighted sequences of the whole lung with all other acquisition parameters kept constant, were retrospectively identified. Manual segmentation of the lungs was performed using ITK-Snap. One hundred radiomics features were extracted from fetal lung MRI data using Pyradiomics, resulting in 90 datasets. Intra-class correlation coefficients (ICC) of radiomics features were calculated between baseline and repeat axial acquisitions and between baseline axial and coronal acquisitions. Results MRI data of 30 fetuses (12 [40%] females, 18 [60%] males) at a median gestational age of 24 + 5 gestational weeks plus days (GW) (interquartile range [IQR] 3 + 3 GW, range 21 + 1 to 32 + 6 GW) were included. Median ICC of radiomics features between baseline and repeat axial MR acquisitions was 0.92 (IQR 0.13, range 0.33 to 1), with 60 features exhibiting excellent (ICC > 0.9), 27 good (> 0.75–0.9), twelve moderate (0.5–0.75), and one poor (ICC < 0.5) reproducibility. Median ICC of radiomics features between baseline axial and coronal MR acquisitions was 0.79 (IQR 0.15, range 0.2 to 1), with 20 features exhibiting excellent, 47 good, 29 moderate, and four poor reproducibility. Conclusion Standardized in-vivo fetal MRI allows reproducible extraction of lung radiomics features. In the future, radiomics analysis may improve diagnostic and prognostic yield of fetal MRI in normal and pathologic lung development. Key Points • Non-invasive fetal MRI acquired using a standardized protocol allows reproducible extraction of radiomics features from the developing lung for objective tissue characterization. • Alteration of imaging plane between fetal MRI acquisitions has a negative impact on lung radiomics feature reproducibility. • Fetal MRI radiomics features reflecting the microstructure and shape of the fetal lung could complement observed-to-expected lung volume in the prediction of postnatal outcome and optimal treatment of fetuses with abnormal lung development in the future.